The Kalman-Bucy Filter

  • Peter A. Ruymgaart
  • Tsu T. Soong
Part of the Springer Series in Information Sciences book series (SSINF, volume 14)

Abstract

Equation (3.1 or 3) mathematically describes the dynamic model in the Kalman-Bucy filter, whose output is a stochastic vector process to be estimated on the basis of noise-contaminated observations. To complete the Kalman-Bucy model for the estimation problem, we now define the observation process.

Keywords

Hilbert Space Orthogonal Projection Cauchy Sequence Uniform Continuity Observation Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Peter A. Ruymgaart
    • 1
  • Tsu T. Soong
    • 2
  1. 1.Department of MathematicsUniversity of Technology, DelftDelftThe Netherlands
  2. 2.Faculty of Engineering and Applied SciencesState University of New York at BuffaloBuffaloUSA

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